User contributions for OnlyDPCanSaveMe

1 May 2025

• 20:2320:23, 1 May 2025 diff hist −45‎ Interpolating FIR Filter ‎No edit summary current
• 20:2320:23, 1 May 2025 diff hist −255‎ Interpolating FIR Filter ‎No edit summary
• 20:2120:21, 1 May 2025 diff hist +44‎ N File:Interpolating fir filter.grc ‎ Here is the .grc file for this current
• 20:1720:17, 1 May 2025 diff hist +54‎ N File:Interpolating FIR Filter.png ‎ Interpolating_FIR_Filter flowgraph image current

29 April 2025

• 15:4215:42, 29 April 2025 diff hist −122‎ Fractional Interpolator ‎No edit summary
• 13:5413:54, 29 April 2025 diff hist −45‎ Fractional Interpolator ‎No edit summary
• 13:5413:54, 29 April 2025 diff hist −256‎ Fractional Interpolator ‎ →‎Example Flowgraph
• 13:4713:47, 29 April 2025 diff hist +320‎ N File:Fractional interpolator.grc ‎ The Fractional Interpolator MMSE block performs signal interpolation using a Minimum Mean Square Error (MMSE) approach. It adjusts the phase shift and resampling ratio (input_rate / output_rate) to generate an interpolated complex signal. This block is ideal for fine-tuning signal timing and sample rates. current
• 13:4613:46, 29 April 2025 diff hist +312‎ N File:Fractional Interpolator.png ‎ The Fractional Interpolator MMSE block performs signal interpolation using a Minimum Mean Square Error (MMSE) approach, adjusting the phase shift and resampling ratio (input_rate / output_rate) to generate an interpolated complex signal. It’s ideal for fine-tuning signal timing and sample rates. current

28 April 2025

• 12:1312:13, 28 April 2025 diff hist +118‎ Rail ‎No edit summary current
• 12:0112:01, 28 April 2025 diff hist −342‎ Rail ‎ The **Rail** block in GNU Radio clips an input signal to a specified range by setting values below a low threshold to that minimum and values above a high threshold to that maximum, with both thresholds being run-time adjustable. Values within the range remain unchanged.
• 12:0012:00, 28 April 2025 diff hist 0‎ File:Rail.png ‎ OnlyDPCanSaveMe uploaded a new version of File:Rail.png current
• 11:5111:51, 28 April 2025 diff hist 0‎ N File:RAIL.grc ‎No edit summary current
• 11:5111:51, 28 April 2025 diff hist 0‎ N File:Rail.png ‎No edit summary

24 April 2025

• 12:5912:59, 24 April 2025 diff hist +166‎ ZMQ REP Sink ‎No edit summary current
• 12:4612:46, 24 April 2025 diff hist −323‎ ZMQ REP Sink ‎No edit summary
• 12:4412:44, 24 April 2025 diff hist +225‎ N File:ZMQ Rep Sink.grc ‎ Acts as a streaming sink in a flowgraph, writing its input data to a ZeroMQ (ZMQ) REP (Reply) socket. The REP socket only sends its contents to an attached REQ (Request) socket when the REQ socket requests data. current
• 12:4212:42, 24 April 2025 diff hist 0‎ N File:ZMQ REP Sink.png ‎No edit summary current

23 April 2025

• 20:5120:51, 23 April 2025 diff hist −44‎ Encode CCSDS 27 ‎No edit summary current
• 20:4920:49, 23 April 2025 diff hist −277‎ Encode CCSDS 27 ‎ →‎Example Flowgraph
• 20:4720:47, 23 April 2025 diff hist +590‎ N File:Encode ccds.grc ‎ The Encode CCSDS 27 block is a 1/2 rate, k=7 convolutional encoder that takes a packed stream of bits (as bytes from the Random Source) and produces twice as many output symbols (0 or 1). Each input byte (8 bits) generates 16 symbols, packed into 2 bytes. With a Random Source generating random bytes (0 to 255), the input bits are pseudo-random, leading to a pseudo-random sequence of output symbols after encoding. After Unpack K Bits (K=1) and Char To Float, the output should be a stream of... current
• 20:4220:42, 23 April 2025 diff hist 0‎ N File:Encode CCSDS 27.png ‎No edit summary current

21 April 2025

• 16:1116:11, 21 April 2025 diff hist −44‎ ZMQ PULL Source ‎No edit summary current
• 16:1116:11, 21 April 2025 diff hist −274‎ ZMQ PULL Source ‎ →‎Example Flowgraph
• 16:0916:09, 21 April 2025 diff hist 0‎ N File:ZMQ pull Source.grc ‎No edit summary current
• 16:0916:09, 21 April 2025 diff hist 0‎ N File:ZMQ PULL Source.png ‎No edit summary current
• 12:2712:27, 21 April 2025 diff hist −44‎ Magnitude and Phase To Complex ‎No edit summary current
• 12:2712:27, 21 April 2025 diff hist −251‎ Magnitude and Phase To Complex ‎ →‎Example Flowgraph
• 12:2412:24, 21 April 2025 diff hist +462‎ N File:Magnitude phase complex.grc ‎ The Magnitude and Phase to Complex block in GNU Radio converts two float inputs—magnitude and phase—into a complex output. It takes a magnitude signal (e.g., amplitude) and a phase signal (e.g., angle in radians) and generates a complex number where the real and imaginary parts reflect the polar-to-rectangular transformation. This is useful for synthesizing modulated signals, with applications in signal processing and communication systems. current
• 12:2212:22, 21 April 2025 diff hist +451‎ N File:Magnitude and Phase To Complex.png ‎ The "Magnitude and Phase To Complex" block converts two float inputs—magnitude and phase—into a complex output. It takes a magnitude signal (e.g., amplitude) and a phase signal (e.g., angle in radians) and generates a complex number where the real and imaginary parts reflect the polar-to-rectangular transformation. This is useful for synthesizing modulated signals, with applications in signal processing and communication systems. current

20 April 2025

• 07:5507:55, 20 April 2025 diff hist −45‎ Alaw Audio Decoder ‎No edit summary current
• 07:1607:16, 20 April 2025 diff hist +111‎ Alaw Audio Decoder ‎ →‎Example Flowgraph
• 07:1307:13, 20 April 2025 diff hist 0‎ N File:Alaw AudioDecoder.grc ‎No edit summary current
• 07:1207:12, 20 April 2025 diff hist +328‎ N File:Alaw Audio Decoder.png ‎ The Alaw Audio Decoder block is used for decoding A-law encoded audio. It takes audio data as input in the form of bytes (typically 8-bit A-law encoded samples) and converts it into 16-bit signed short format for further processing.The block essentially decompresses the compressed audio data to its original form. current

18 April 2025

• 10:0710:07, 18 April 2025 diff hist −311‎ Fast Multiply Const ‎No edit summary current
• 10:0210:02, 18 April 2025 diff hist +168‎ N File:Fast multiply const.grc ‎ The Fast Multiply Const block multiplies an input signal by a scalar constant, optimized for performance using VOLK (Vector-Optimized Library of Kernels) current
• 10:0010:00, 18 April 2025 diff hist +405‎ N File:Fast Multiply Const.png ‎ The flowgraph uses two QT GUI Time Sinks to compare the original sine wave (amplitude 1) from the Signal Source with the amplified signal (amplitude 2) after the "Fast Multiply Const" block (constant 2). This dual-sink setup allows for a clear visual verification of the block’s multiplication effect, aiding learning, debugging, and documentation by showing input and output side by side. current

16 April 2025

• 17:5717:57, 16 April 2025 diff hist +492‎ DC Blocker ‎ →‎Example Flowgraph current
• 17:5617:56, 16 April 2025 diff hist +137‎ DC Blocker ‎ The DC Blocker is a computationally efficient block designed to remove the DC component from a signal, useful for applications like AM signal processing where a DC bias may be introduced. It creates a tight notch filter around DC, outperforming simpler IIR filters, with configurable parameters: a delay line length (default 32, adjustable to widen/narrow the notch) and a long form option (True for a flatter response with higher group delay, False for faster processing with lower delay).
• 17:3817:38, 16 April 2025 diff hist +505‎ N File:Dc blocker.grc ‎ The DC Blocker is a computationally efficient block designed to remove the DC component from a signal, useful for applications like AM signal processing, where a DC bias may be introduced. It creates a tight notch filter around DC, outperforming simpler IIR filters, with configurable parameters: a delay line length (default 32, adjustable to widen/narrow the notch) and a long form option (True for a flatter response with higher group delay, False for faster processing with lower delay). current
• 17:3617:36, 16 April 2025 diff hist +504‎ N File:DC Blocker.png ‎ The DC Blocker is a computationally efficient block designed to remove the DC component from a signal, useful for applications like AM signal processing where a DC bias may be introduced. It creates a tight notch filter around DC, outperforming simpler IIR filters, with configurable parameters: a delay line length (default 32, adjustable to widen/narrow the notch) and a long form option (True for a flatter response with higher group delay, False for faster processing with lower delay). current

14 April 2025

• 20:1020:10, 14 April 2025 diff hist −622‎ File:Log Power FFT, 913 x 278.png ‎No edit summary current
• 20:0620:06, 14 April 2025 diff hist −20‎ Log Power FFT ‎No edit summary current
• 19:4919:49, 14 April 2025 diff hist −44‎ Log Power FFT ‎No edit summary
• 19:4819:48, 14 April 2025 diff hist +45‎ Log Power FFT ‎No edit summary
• 17:1717:17, 14 April 2025 diff hist −4‎ Log Power FFT ‎No edit summary
• 17:1617:16, 14 April 2025 diff hist +1,107‎ Log Power FFT ‎ add Example Flowgraph
• 17:0717:07, 14 April 2025 diff hist +236‎ N File:Log Power FFT.grc ‎ A flowgraph in GNU Radio Companion demonstrates the Log Power FFT block by processing a 1 kHz sine wave and displaying its spectrum with a peak at ±1,000 Hz at 0 dB, using an FFT size of 1024 and a reference scale of 512. current
• 17:0617:06, 14 April 2025 diff hist −290‎ File:Log Power FFT, 913 x 278.png ‎No edit summary
• 17:0117:01, 14 April 2025 diff hist +1,218‎ N File:Log Power FFT, 913 x 278.png ‎ This summary describes how to create a flowgraph in GNU Radio Companion (GRC) using the Log Power FFT block to process a sine wave signal and visualize its logarithmic power spectrum. The setup is straightforward, and the output aligns with the expected behavior of the block as described. Flowgraph Components and Configuration. Signal Source Generates a sine wave. Frequency: 1 kHz. Sample Rate: 32,000 samples per second (32 kHz). Amplitude: 1 (a simple, clean input signal). Throttle Block...