A lot of README formatting, changed csdr through format

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ha7ilm 2017-04-02 13:23:56 +02:00
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2 changed files with 396 additions and 81 deletions

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README.md
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@ -205,7 +205,7 @@ Syntax:
csdr through csdr through
It copies the input to the output, while also displaying the speed of the data going through it. It copies the input to the output, while also displaying the data rate going through it.
---- ----
@ -231,33 +231,65 @@ If `buf_times` is not given, it never stops.
Else, after outputing `buf_times` number of buffers (the size of which is stated in the `BUFSIZE` macro), it exits. Else, after outputing `buf_times` number of buffers (the size of which is stated in the `BUFSIZE` macro), it exits.
detect_nan_ff ----
### [detect_nan_ff](#detect_nan_ff)
Syntax:
csdr detect_nan_ff
Along with copying its input samples to the output, it prints a warning message to *stderr* if it finds any IEEE floating point NaN values among the samples. Along with copying its input samples to the output, it prints a warning message to *stderr* if it finds any IEEE floating point NaN values among the samples.
dump_f ----
### [dump_f](#dump_f)
Syntax:
csdr dump_f
It prints all floating point input samples as text. It prints all floating point input samples as text.
The format string used is `"%g "`. The C format string used is `"%g "`.
You can also use it to print complex float values, then you will see the I and Q samples interleaved, like: `I Q I Q I Q ...` You can also use it to print complex float values, then you will see the I and Q samples interleaved, like: `I Q I Q I Q ...`
Alternatively, you can use the `od` command (built into most Linux distributions). To display a list of floating point values with their addresses as well, you can use: `od -vf` Alternatively, you can use the `od` command (built into most Linux distributions). To display a list of floating point values with their addresses as well, you can use: `od -vf`
dump_u8 Aliases for this function: `floatdump_f`
----
### [dump_u8](#dump_u8)
Syntax:
csdr dump_u8
It prints all input bytes as text, in hexadecimal form. It prints all input bytes as text, in hexadecimal form.
Alternatively, you can use the `xxd` command (built into most Linux distributions). To display a hexadecimal dump of the standard input (with addresses at the beginning of rows), you can use: `xxd -g1` Alternatively, you can use the `xxd` command (built into most Linux distributions). To display a hexadecimal dump of the standard input (with addresses at the beginning of rows), you can use: `xxd -g1`
flowcontrol <data_rate> <reads_per_second> ----
### [flowcontrol](#flowcontrol)
Syntax:
csdr flowcontrol <data_rate> <reads_per_second>
It limits the data rate of a stream to a given `data_rate` number of bytes per second. It limits the data rate of a stream to a given `data_rate` number of bytes per second.
It copies `data_rate / reads_per_second` bytes from the input to the output, doing it `reads_per_second` times every second. It copies `data_rate / reads_per_second` bytes from the input to the output, doing it `reads_per_second` times every second.
shift_math_cc <rate> ----
### [shift_math_cc](#shift_math_cc)
Syntax:
csdr shift_math_cc <rate>
It shifts the signal in the frequency domain by `rate`. It shifts the signal in the frequency domain by `rate`.
@ -265,31 +297,63 @@ It shifts the signal in the frequency domain by `rate`.
`rate` is relative to the sampling rate. `rate` is relative to the sampling rate.
Internally, a sine and cosine wave is generated to perform this function, and this function uses `math.h` for this purpose, which is quite accurate, but not always very fast. Internally, a sine and cosine wave is generated, and this function uses `math.h` for this purpose, which is quite accurate, but not always very fast.
shift_addition_cc <rate> ----
### [shift_addition_cc](#shift_addition_cc)
Syntax:
csdr shift_addition_cc <rate>
Operation is the same as for `shift_math_cc`. Operation is the same as for `shift_math_cc`.
Internally, this function uses trigonometric addition formulas to generate sine and cosine, which is a bit faster. (About 4 times on the machine I have tested it on.) Internally, this function uses trigonometric addition formulas to generate sine and cosine, which is a bit faster. (About 4 times on the machine I have tested it on.)
shift_addition_cc_test ----
### [shift_addition_cc_test](#shift_addition_cc_test)
Syntax:
csdr shift_addition_cc_test
This function was used to test the accuracy of the method above. This function was used to test the accuracy of the method above.
shift_table_cc <rate> [table_size] ----
### [shift_table_cc](#shift_table_cc)
Syntax:
csdr shift_table_cc <rate> [table_size]
Operation is the same as with `shift_math_cc`. Operation is the same as with `shift_math_cc`.
Internally, this function uses a look-up table (LUT) to recall the values of the sine function (for the first quadrant). Internally, this function uses a look-up table (LUT) to recall the values of the sine function (for the first quadrant).
The higher the table size is, the smaller the phase error is. The higher the table size is, the smaller the phase error is.
shift_addfast_cc <rate> ----
### [shift_addfast_cc](#shift_addfast_cc)
Syntax:
csdr shift_addfast_cc <rate>
Operation is the same as for `shift_math_cc`. Operation is the same as for `shift_math_cc`.
Internally, this function uses a NEON-accelerated algorithm on capable systems, so it is advised to use this one on ARM boards. Internally, this function uses a NEON-accelerated algorithm on capable systems, so it is advised to use this one on ARM boards.
shift_unroll_cc <rate> ----
### [shift_unroll_cc](#shift_unroll_cc)
Syntax:
csdr shift_unroll_cc <rate>
Operation is the same as for `shift_math_cc`. Operation is the same as for `shift_math_cc`.
@ -297,103 +361,224 @@ This uses a modified algoritm that first stores a vector of sine and cosine valu
The loop in this function unrolls quite well if compiled on a PC. It was the fastest one on an i7 CPU during the tests. The loop in this function unrolls quite well if compiled on a PC. It was the fastest one on an i7 CPU during the tests.
decimating_shift_addition_cc <rate> [decimation] ----
### [decimating_shift_addition_cc](#decimating_shift_addition_cc)
Syntax:
csdr decimating_shift_addition_cc <rate> [decimation]
It shifts the input signal in the frequency domain, and also decimates it, without filtering. It will be useful as a part of the FFT channelizer implementation (to be done). It shifts the input signal in the frequency domain, and also decimates it, without filtering. It will be useful as a part of the FFT channelizer implementation (to be done).
It cannot be used as a channelizer by itself, use `fir_decimate_cc` instead. It cannot be used as a channelizer by itself, use `fir_decimate_cc` instead.
dcblock_ff ----
### [dcblock_ff](#dcblock_ff)
Syntax:
csdr dcblock_ff
This is a DC blocking IIR filter. This is a DC blocking IIR filter.
fastdcblock_ff ----
### [fastdcblock_ff](#fastdcblock_ff)
Syntax:
csdr fastdcblock_ff
This is a DC blocker that works based on the average of the buffer. This is a DC blocker that works based on the average of the buffer.
fmdemod_atan_cf ----
### [fmdemod_atan_cf](#fmdemod_atan_cf)
Syntax:
csdr fmdemod_atan_cf
It is an FM demodulator that internally uses the `atan` function in `math.h`, so it is not so fast. It is an FM demodulator that internally uses the `atan` function in `math.h`, so it is not so fast.
fmdemod_quadri_cf ----
### [fmdemod_quadri_cf](#fmdemod_quadri_cf)
Syntax:
csdr fmdemod_quadri_cf
It is an FM demodulator that is based on the quadri-correlator method, and it can be effectively auto-vectorized, so it should be faster. It is an FM demodulator that is based on the quadri-correlator method, and it can be effectively auto-vectorized, so it should be faster.
fmdemod_quadri_novect_cf ----
### [fmdemod_quadri_novect_cf](#fmdemod_quadri_novect_cf)
Syntax:
csdr fmdemod_quadri_novect_cf
It has more easily understandable code than the previous one, but can't be auto-vectorized. It has more easily understandable code than the previous one, but can't be auto-vectorized.
deemphasis_wfm_ff <sample_rate> <tau> ----
### [deemphasis_wfm_ff](#deemphasis_wfm_ff)
Syntax:
csdr deemphasis_wfm_ff <sample_rate> <tau>
It does de-emphasis with the given RC time constant `tau`. It does de-emphasis with the given RC time constant `tau`.
Different parts of the world use different pre-emphasis filters for FM broadcasting. Different parts of the world use different pre-emphasis filters for FM broadcasting.
In Europe, `tau` should be chosen as `50e-6`, and in the USA, `tau` should be `75e-6`. In Europe, `tau` should be chosen as `50e-6`, and in the USA, `tau` should be `75e-6`.
deemphasis_nfm_ff <one_of_the_predefined_sample_rates> ----
### [deemphasis_nfm_ff](#deemphasis_nfm_ff)
Syntax:
csdr deemphasis_nfm_ff <one_of_the_predefined_sample_rates>
It does de-emphasis on narrow-band FM for communication equipment (e.g. two-way radios). It does de-emphasis on narrow-band FM for communication equipment (e.g. two-way radios).
It uses fixed filters so it works only on predefined sample rates, for the actual list of them run: `cat libcsdr.c | grep DNFMFF_ADD_ARRAY`
amdemod_cf It uses fixed filters so it works only on predefined sample rates, for the actual list of them run:
cat libcsdr.c | grep DNFMFF_ADD_ARRAY
----
### [amdemod_cf](#amdemod_cf)
Syntax:
csdr amdemod_cf
It is an AM demodulator that uses `sqrt`. On some architectures `sqrt` can be directly calculated by dedicated CPU instructions, but on others it may be slower. It is an AM demodulator that uses `sqrt`. On some architectures `sqrt` can be directly calculated by dedicated CPU instructions, but on others it may be slower.
amdemod_estimator_cf ----
### [amdemod_estimator_cf](#amdemod_estimator_cf)
Syntax:
csdr amdemod_estimator_cf
It is an AM demodulator that uses an estimation method that is faster but less accurate than `amdemod_cf`. It is an AM demodulator that uses an estimation method that is faster but less accurate than `amdemod_cf`.
firdes_lowpass_f <cutoff_rate> <length> [window [--octave]] ----
### [firdes_lowpass_f](#firdes_lowpass_f)
Syntax:
csdr firdes_lowpass_f <cutoff_rate> <length> [window [--octave]]
Low-pass FIR filter design function to output real taps, with a `cutoff_rate` proportional to the sampling frequency, using the windowed sinc filter design method. Low-pass FIR filter design function to output real taps, with a `cutoff_rate` proportional to the sampling frequency, using the windowed sinc filter design method.
`cutoff_rate` can be between 0 and 0.5. `cutoff_rate` can be between 0 and 0.5.
`length` is the number of filter taps to output, and should be odd. `length` is the number of filter taps to output, and should be odd.
The longer the filter kernel is, the shorter the transition bandwidth is, but the more CPU time it takes to process the filter. The longer the filter kernel is, the shorter the transition bandwidth is, but the more CPU time it takes to process the filter.
The transition bandwidth (proportional to the sampling rate) can be calculated as: `transition_bw = 4 / length`. The transition bandwidth (proportional to the sampling rate) can be calculated as: `transition_bw = 4 / length`.
Some functions (below) require the `transition_bw` to be given instead of filter `length`. Try to find the best compromise between speed and accuracy by changing this parameter. Some functions (below) require the `transition_bw` to be given instead of filter `length`. Try to find the best compromise between speed and accuracy by changing this parameter.
`window` is the window function used to compensate finite filter length. Its typical values are: `HAMMING`, `BLACKMAN`, `BOXCAR`. For the actual list of values, run: `cpp libcsdr.c | grep window\ ==` `window` is the window function used to compensate finite filter length. Its typical values are: `HAMMING`, `BLACKMAN`, `BOXCAR`. For the actual list of values, run: `cpp libcsdr.c | grep window\ ==`
The `--octave` parameter lets you directly view the filter response in `octave`. For more information, look at the [Usage by example] section. The `--octave` parameter lets you directly view the filter response in `octave`. For more information, look at the [Usage by example] section.
firdes_bandpass_c <low_cut> <high_cut> <length> [window [--octave]] ----
### [firdes_bandpass_c](#firdes_bandpass_c)
Syntax:
csdr firdes_bandpass_c <low_cut> <high_cut> <length> [window [--octave]]
Band-pass FIR filter design function to output complex taps. Band-pass FIR filter design function to output complex taps.
`low_cut` and ` high_cut` both may be between -0.5 and 0.5, and are also proportional to the sampling frequency. `low_cut` and ` high_cut` both may be between -0.5 and 0.5, and are also proportional to the sampling frequency.
Other parameters were explained above at `firdes_lowpass_f`. Other parameters were explained above at `firdes_lowpass_f`.
fir_decimate_cc <decimation_factor> [transition_bw [window]] ----
### [fir_decimate_cc](#fir_decimate_cc)
Syntax:
csdr fir_decimate_cc <decimation_factor> [transition_bw [window]]
It is a decimator that keeps one sample out of `decimation_factor` samples. It is a decimator that keeps one sample out of `decimation_factor` samples.
To avoid aliasing, it runs a filter on the signal and removes spectral components above `0.5 × nyquist_frequency × decimation_factor` from the input signal. To avoid aliasing, it runs a filter on the signal and removes spectral components above `0.5 × nyquist_frequency × decimation_factor` from the input signal.
fir_interpolate_cc <interpolation_factor> [transition_bw [window]] ----
### [fir_interpolate_cc](#fir_interpolate_cc)
Syntax:
csdr fir_interpolate_cc <interpolation_factor> [transition_bw [window]]
It is an interpolator that generates `interpolation_factor` number of output samples from one input sample. It is an interpolator that generates `interpolation_factor` number of output samples from one input sample.
To avoid aliasing, it runs a filter on the signal and removes spectral components above `0.5 × nyquist_frequency / interpolation_factor` from the output signal. To avoid aliasing, it runs a filter on the signal and removes spectral components above `0.5 × nyquist_frequency / interpolation_factor` from the output signal.
`transition_bw` and `window` are the parameters of the filter. `transition_bw` and `window` are the parameters of the filter.
rational_resampler_ff <interpolation> <decimation> [transition_bw [window]] ----
### [rational_resampler_ff](#rational_resampler_ff)
Syntax:
csdr rational_resampler_ff <interpolation> <decimation> [transition_bw [window]]
It is a resampler that takes integer values of `interpolation` and `decimation`. It is a resampler that takes integer values of `interpolation` and `decimation`.
The output sample rate will be `interpolation / decimation × input_sample_rate`. The output sample rate will be `interpolation / decimation × input_sample_rate`.
`transition_bw` and `window` are the parameters of the filter. `transition_bw` and `window` are the parameters of the filter.
fractional_decimator_ff <decimation_rate> [transition_bw [window]] ----
### [fractional_decimator_ff](#fractional_decimator_ff)
Syntax:
csdr fractional_decimator_ff <decimation_rate> [transition_bw [window]]
It can decimate by a floating point ratio. It can decimate by a floating point ratio.
`transition_bw` and `window` are the parameters of the filter. `transition_bw` and `window` are the parameters of the filter.
bandpass_fir_fft_cc <low_cut> <high_cut> <transition_bw> [window] ----
### [bandpass_fir_fft_cc](#bandpass_fir_fft_cc)
Syntax:
csdr bandpass_fir_fft_cc <low_cut> <high_cut> <transition_bw> [window]
It performs a bandpass FIR filter on complex samples, using FFT and the overlap-add method. It performs a bandpass FIR filter on complex samples, using FFT and the overlap-add method.
Parameters are described under `firdes_bandpass_c` and `firdes_lowpass_f`. Parameters are described under `firdes_bandpass_c` and `firdes_lowpass_f`.
agc_ff [hang_time [reference [attack_rate [decay_rate [max_gain [attack_wait [filter_alpha]]]]]]] ----
### [agc_ff](#agc_ff)
Syntax:
csdr agc_ff [hang_time [reference [attack_rate [decay_rate [max_gain [attack_wait [filter_alpha]]]]]]]
It is an automatic gain control function. It is an automatic gain control function.
@ -407,11 +592,23 @@ It is an automatic gain control function.
Its default parameters work best for an audio signal sampled at 48000 Hz. Its default parameters work best for an audio signal sampled at 48000 Hz.
fastagc_ff [block_size [reference]] ----
### [fastagc_ff](#fastagc_ff)
Syntax:
csdr fastagc_ff [block_size [reference]]
It is a faster AGC that linearly changes the gain, taking the highest amplitude peak in the buffer into consideration. Its output will never exceed `-reference ... reference`. It is a faster AGC that linearly changes the gain, taking the highest amplitude peak in the buffer into consideration. Its output will never exceed `-reference ... reference`.
fft_cc <fft_size> <out_of_every_n_samples> [window [--octave] [--benchmark]] ----
### [fft_cc](#fft_cc)
Syntax:
csdr fft_cc <fft_size> <out_of_every_n_samples> [window [--octave] [--benchmark]]
It performs an FFT on the first `fft_size` samples out of `out_of_every_n_samples`, thus skipping `out_of_every_n_samples - fft_size` samples in the input. It performs an FFT on the first `fft_size` samples out of `out_of_every_n_samples`, thus skipping `out_of_every_n_samples - fft_size` samples in the input.
@ -419,62 +616,160 @@ It can draw the spectrum by using `--octave`, for more information, look at the
FFTW can be faster if we let it optimalize a while before starting the first transform, hence the `--benchmark` switch. FFTW can be faster if we let it optimalize a while before starting the first transform, hence the `--benchmark` switch.
fft_benchmark <fft_size> <fft_cycles> [--benchmark] ----
### [fft_benchmark](#fft_benchmark)
Syntax:
csdr fft_benchmark <fft_size> <fft_cycles> [--benchmark]
It measures the time taken to process `fft_cycles` transforms of `fft_size`. It measures the time taken to process `fft_cycles` transforms of `fft_size`.
It lets FFTW optimalize if used with the `--benchmark` switch. It lets FFTW optimalize if used with the `--benchmark` switch.
logpower_cf [add_db] ----
### [logpower_cf](#logpower_cf)
Syntax:
csdr logpower_cf [add_db]
Calculates `10*log10(i^2+q^2)+add_db` for the input complex samples. It is useful for drawing power spectrum graphs. Calculates `10*log10(i^2+q^2)+add_db` for the input complex samples. It is useful for drawing power spectrum graphs.
encode_ima_adpcm_i16_u8 ----
### [encode_ima_adpcm_i16_u8](#encode_ima_adpcm_i16_u8)
Syntax:
----
### [csdr](#csdr)
Syntax:
csdr csdr encode_ima_adpcm_i16_u8
Encodes the audio stream to IMA ADPCM, which decreases the size to 25% of the original. Encodes the audio stream to IMA ADPCM, which decreases the size to 25% of the original.
decode_ima_adpcm_u8_i16 ----
### [decode_ima_adpcm_u8_i16](#decode_ima_adpcm_u8_i16)
Syntax:
csdr decode_ima_adpcm_u8_i16
Decodes the audio stream from IMA ADPCM. Decodes the audio stream from IMA ADPCM.
compress_fft_adpcm_f_u8 <fft_size> ----
### [compress_fft_adpcm_f_u8](#compress_fft_adpcm_f_u8)
Syntax:
csdr compress_fft_adpcm_f_u8 <fft_size>
Encodes the FFT output vectors of `fft_size`. It should be used on the data output from `logpower_cf`. Encodes the FFT output vectors of `fft_size`. It should be used on the data output from `logpower_cf`.
It resets the ADPCM encoder at the beginning of every vector, and to compensate it, `COMPRESS_FFT_PAD_N` samples are added at beginning (these equal to the first relevant sample).
The actual number of padding samples can be determined by running `cat csdr.c | grep "define COMPRESS_FFT_PAD_N"`.
fft_exchange_sides_ff <fft_size> It resets the ADPCM encoder at the beginning of every vector, and to compensate it, `COMPRESS_FFT_PAD_N` samples are added at beginning (these equal to the first relevant sample).
The actual number of padding samples can be determined by running:
cat csdr.c | grep "define COMPRESS_FFT_PAD_N"
----
### [fft_exchange_sides_ff](#fft_exchange_sides_ff)
Syntax:
csdr fft_exchange_sides_ff <fft_size>
It exchanges the first and second part of the FFT vector, to prepare it for the waterfall/spectrum display. It should operate on the data output from `logpower_cf`. It exchanges the first and second part of the FFT vector, to prepare it for the waterfall/spectrum display. It should operate on the data output from `logpower_cf`.
dsb_fc [q_value] ----
### [dsb_fc](#dsb_fc)
Syntax:
csdr dsb_fc [q_value]
It converts a real signal to a double sideband complex signal centered around DC. It converts a real signal to a double sideband complex signal centered around DC.
It does so by generating a complex signal: It does so by generating a complex signal:
* the real part of which is the input real signal, * the real part of which is the input real signal,
* the imaginary part of which is `q_value` (0 by default). * the imaginary part of which is `q_value` (0 by default).
With `q_value = 0` it is an AM-DSB/SC modulator. If you want to get an AM-DSB signal, you will have to add a carrier to it. With `q_value = 0` it is an AM-DSB/SC modulator. If you want to get an AM-DSB signal, you will have to add a carrier to it.
add_dcoffset_cc ----
### [add_dcoffset_cc](#add_dcoffset_cc)
Syntax:
csdr add_dcoffset_cc
It adds a DC offset to the complex signal: `i_output = 0.5 + i_input / 2, q_output = q_input / 2` It adds a DC offset to the complex signal: `i_output = 0.5 + i_input / 2, q_output = q_input / 2`
convert_f_samplerf <wait_for_this_sample> ----
### [convert_f_samplerf](#convert_f_samplerf)
Syntax:
csdr convert_f_samplerf <wait_for_this_sample>
It converts a real signal to the `-mRF` input format of [https://github.com/F5OEO/rpitx](rpitx), so it allows you to generate frequency modulation. The input signal will be the modulating signal. The `<wait_for_this_sample>` parameter is the value for `rpitx` indicating the time to wait between samples. For a sampling rate of 48 ksps, this is 20833. It converts a real signal to the `-mRF` input format of [https://github.com/F5OEO/rpitx](rpitx), so it allows you to generate frequency modulation. The input signal will be the modulating signal. The `<wait_for_this_sample>` parameter is the value for `rpitx` indicating the time to wait between samples. For a sampling rate of 48 ksps, this is 20833.
fmmod_fc ----
### [fmmod_fc](#fmmod_fc)
Syntax:
csdr fmmod_fc
It generates a complex FM modulated output from a real input signal. It generates a complex FM modulated output from a real input signal.
fixed_amplitude_cc <new_amplitude> ----
### [fixed_amplitude_cc](#fixed_amplitude_cc)
Syntax:
csdr fixed_amplitude_cc <new_amplitude>
It changes the amplitude of every complex input sample to a fixed value. It does not change the phase information of the samples. It changes the amplitude of every complex input sample to a fixed value. It does not change the phase information of the samples.
mono2stereo_s16 ----
### [mono2stereo_s16](#mono2stereo_s16)
Syntax:
csdr mono2stereo_s16
It doubles every input sample. It doubles every input sample.
setbuf <buffer_size> Example: if the input samples are 16 bit signed integers:
23 -452 3112
The output will be:
23 23 -452 -452 3112 3112
----
### [setbuf](#setbuf)
Syntax:
csdr setbuf <buffer_size>
See the [buffer sizes](#buffer_sizes) section. See the [buffer sizes](#buffer_sizes) section.
@ -482,11 +777,23 @@ See the [buffer sizes](#buffer_sizes) section.
This is a controllable squelch, which reads the squelch level input from `<squelch_fifo>` and writes the power level output to `<smeter_fifo>`. Both input and output are in the format of `%g\n`. While calculating the power level, it takes only every `<use_every_nth>` sample into consideration. It writes the S-meter value for every `<report_every_nth>` buffer to `<smeter_fifo>`. If the squelch level is set to 0, it it forces the squelch to be open. If the squelch is closed, it fills the output with zero. This is a controllable squelch, which reads the squelch level input from `<squelch_fifo>` and writes the power level output to `<smeter_fifo>`. Both input and output are in the format of `%g\n`. While calculating the power level, it takes only every `<use_every_nth>` sample into consideration. It writes the S-meter value for every `<report_every_nth>` buffer to `<smeter_fifo>`. If the squelch level is set to 0, it it forces the squelch to be open. If the squelch is closed, it fills the output with zero.
fifo <buffer_size> <number_of_buffers> ----
### [fifo](#fifo)
Syntax:
csdr fifo <buffer_size> <number_of_buffers>
It is similar to `clone`, but internally it uses a circular buffer. It reads as much as possible from the input. It discards input samples if the input buffer is full. It is similar to `clone`, but internally it uses a circular buffer. It reads as much as possible from the input. It discards input samples if the input buffer is full.
psk31_varicode_encoder_u8_u8 ----
### [psk31_varicode_encoder_u8_u8](#psk31_varicode_encoder_u8_u8)
Syntax:
csdr psk31_varicode_encoder_u8_u8
It encodes ASCII characters into varicode for PSK31 transmission. It puts a `00` sequence between the varicode characters (which acts as a separator). It encodes ASCII characters into varicode for PSK31 transmission. It puts a `00` sequence between the varicode characters (which acts as a separator).
@ -502,6 +809,42 @@ For this input, the output of `psk31_varicode_encoder_u8_u8` will be the followi
00 00 00 00
``` ```
----
### [?](#search_the_function_list)
Syntax:
csdr ?<search_the_function_list>
You can search the functions available in `csdr` just as if you typed: `csdr 2>&1 | grep <search_what>`
### [=](#evaluate-python-expression)
Syntax:
csdr =<evaluate_python_expression>
When running complicated `csdr` commands, we usually run into using `python` to calculate certain parameters.
This function can eliminate some typing and make our command clearer.
Instead of having to write:
csdr shift_addition_cc $(python -c "print 1200/2400000.")
...we can type:
csdr shift_addition_cc $(csdr =1200/2400000.)
If using parenthesis inside the expression, it needs to be escaped (as `bash` would want to parse it):
csdr shift_addition_cc $(csdr =\(1200+300\)/2400000)
Another solution is using single quotes to wrap the expression:
csdr shift_addition_cc $(csdr '=(1200+300)/2400000.')
#### Control via pipes #### Control via pipes
Some parameters can be changed while the `csdr` process is running. To achieve this, some `csdr` functions have special parameters. You have to supply a fifo previously created by the `mkfifo` command. Processing will only start after the first control command has been received by `csdr` over the FIFO. Some parameters can be changed while the `csdr` process is running. To achieve this, some `csdr` functions have special parameters. You have to supply a fifo previously created by the `mkfifo` command. Processing will only start after the first control command has been received by `csdr` over the FIFO.
@ -524,34 +867,6 @@ By writing to the given FIFO file with the syntax below, you can control the shi
E.g. you can send `-0.05 0.02\n` E.g. you can send `-0.05 0.02\n`
?<search_the_function_list>
You can search the functions available in `csdr` just as if you typed: `csdr 2>&1 | grep <search_what>`
### [=](#evaluate-python-expression>
=<evaluate_python_expression>
When running complicated `csdr` commands, we usually run into using `python` to calculate certain parameters.
This function can eliminate some typing and make our command clearer.
Instead of having to write:
csdr shift_addition_cc $(python -c "print 1200/2400000.")
...we can type:
csdr shift_addition_cc $(csdr =1200/2400000.)
If using parenthesis inside the expression, it needs to be escaped (as `bash` would want to parse it):
csdr shift_addition_cc $(csdr =\(1200+300\)/2400000)
Another solution is using single quotes to wrap the expression:
csdr shift_addition_cc $(csdr '=(1200+300)/2400000.')
#### Buffer sizes #### Buffer sizes
*csdr* has three modes of determining the buffer sizes, which can be chosen by the appropriate environment variables: *csdr* has three modes of determining the buffer sizes, which can be chosen by the appropriate environment variables:

2
csdr.c
View file

@ -1923,7 +1923,7 @@ int main(int argc, char *argv[])
float timetaken; float timetaken;
if(time_now_sec<(timetaken=TIME_TAKEN(start_time,end_time))) if(time_now_sec<(timetaken=TIME_TAKEN(start_time,end_time)))
{ {
fprintf( stderr, "through: %lu bytes/s %d\n", (unsigned long)floor((float)buffer_count*the_bufsize*sizeof(float)/timetaken), buffer_count ); fprintf( stderr, "through: %lu bytes/s, buffer #%d\n", (unsigned long)floor((float)buffer_count*the_bufsize*sizeof(float)/timetaken), buffer_count );
time_now_sec=ceil(timetaken); time_now_sec=ceil(timetaken);
} }
} }