PicenoDecoders
Encoders and decoders for encoding and decoding, and error detection and correction.
Hamming encoders and decoders
Viterbi Decoder
- Designed the synthesizable behavioral Verilog RTL model of the Viterbi decoder.
- Developed a model of a digital communications system, which is comprised of its transmitting-end, a noisy communications channel, and its receiving-end. In the transmitting-end of this communications system, data is encoded. In the model of the communications channel, as the data passes through the channel, data is intentionally corrupted randomly. Verilog's random number generator is used to do this. In the receiving-end of this communications system, data is decoded.
- Developed Verilog testbenches for each Verilog module in this communications system. Used these testbenches for unit testing and regression testing. A Makefile is provided for "build automation" (or the automation of analyzing and elaborating the RTL designs, and simulating them).
- Carried out static timing analysis on synthesized Verilog netlist of the Viterbi decoder.
- Extracted synthesized Verilog netlist of the Viterbi decoder to a SPICE netlist, and simulated the SPICE netlist with the Synopsys NanoSim circuit simulator.
- See Viterbi decoder for the Verilog source code for this project.
- See Viterbi_decoder_AJM_ZO.pdf for the project report.
Encoders and their Corresponding Error Correcting Decoders Based on Coding Theory
A Perl script is used to generate the synthesizable behavioral RTL for an encoder and a decoder for error correction using coding theory. The RTL is generated based on a given generator matrix or parity-check matrix. The Perl script processes the matrix that is stored in an input file, and creates the pair of corresponding generator and parity-check matrices. Next, these matrices are used to generate the RTL models for the encoder and the decoder.
Files: vparse.pl (the Perl script), read_me.md (the readme file describing how to use the script, what does it do, and what does it not do), input.txt (a sample input text file containing a matrix), and input_matrices (more files containing matrices). Note that the given generator matrix or parity-check matrix can have its columns rearranged.