The Least Mean Square algorithm, as a typical adaptive filtering algorithm, has been widely used in the field of noise suppression, and its implementation is mainly based on general-purpose processors, which has the problem of low computational efficiency and performance.The RISC-V architecture, with the advantages of open-source, streamlining, and scalability, is suitable for the implementation of dedicated processors. In this paper, a RISC-V based specialized processor is designed for the LMS algorithm. The customized instruction set F extension is used to process floating point numbers, and MAC (Multiply Accumulate) instructions are added to the coprocessor to complete the acceleration of the LMS algorithm. Experimental studies show that the processor can realize effective noise cancellation, when the input signal-to-noise ratio is 5dB, the signal-to-noise ratio after noise cancellation is 17.5dB; The system uses FPU (Floating Point Unit) to execute the LMS algorithm, the number of instruction execution is 220354, and the execution cycle is 586221, and when this design scheme is used, working in FPU+MAC mode, the number of instruction execution is 31621, and the execution cycle is 89412, which improves the efficiency significantly.

To address the issue of caches being unable to predict nonlocal program execution and prepare for critical tasks, this paper proposes a high-security, first-level configurable instruction cache design. The design achieves flexible SRAM/Cache configurability through internal control registers. It ensures data access security for users at various levels through two granularity storage protection mechanisms: page-level and cache line-level. Rapid interaction with external storage data is achieved through direct memory access (DMA) to SRAM. A Universal Verification Methodology (UVM) verification platform is established to conduct module-level verification of the configurable instruction cache and collect coverage data. Different library functions are invoked to perform system-level verification and compare the hit rates of the cache under different L1P size configurations. A 40nm low-threshold library is utilized to conduct post-simulation verification of latency and power consumption. The results demonstrate that the designed cache can safely and swiftly switch between five L1P configurations of 32KB, 16KB, 8KB, 4KB, and 0KB during program execution, with a maximum path delay of 1.47ns and a total power consumption of 309.97mW, meeting the stable operation requirements of a 600MHz high-performance DSP.

With the rapid increase of data volume in today's era, higher requirements are put forward for data transmission technology, especially in terms of transmission speed, stability and reliability. When the traditional single channel LVDS data transmission system transmits for a long distance, its transmission rate is often only a few hundred Mbps, which is difficult to meet the requirements of high-speed data transmission. Therefore, this paper proposes a comprehensive optimization scheme: in terms of hardware, two groups of four channel LVDS chips are used as the high-speed interface of data, which realizes eight channel LVDS transmission and improves the data transmission rate; However, as the rate increases, the probability of error code generation under the effect of crosstalk and electromagnetic interference also increases. Therefore, it is necessary to cooperate with the anti-interference ability and long-distance transmission ability of LVDS dedicated data driver and cable equalizer system; In addition, RS encoding and decoding technology is introduced into the software logic to achieve error correction within a certain range. With automatic retransmission technology and CRC verification, the reliability of data transmission is improved. After many tests, the design can finally achieve 4000mb/s zero error transmission under 80m twisted pair shielded cable.