期末考试原题

现代数字信号处理与噪声降低 第三版,pdf格式 matlab工具

完整代码，可直接运行

完整代码，可直接运行

完整代码，可直接运行

Understanding Digital Signal Processing, Third Edition, is quite simply the best resource for engineers and other technical professionals who want to master and apply today’s latest DSP techniques. Richard G. Lyons has updated and expanded his best-selling second edition to reflect the newest technologies, building on the exceptionally readable coverage that made it the favorite of DSP professionals worldwide. He has also added hands-on problems to every chapter, giving students even more of the practical experience they need to succeed. Comprehensive in scope and clear in approach, this book achieves the perfect balance between theory and practice, keeps math at a tolerable level, and makes DSP exceptionally accessible to beginners without ever oversimplifying it. Readers can thoroughly grasp the basics and quickly move on to more sophisticated techniques. This edition adds extensive new coverage of FIR and IIR filter analysis techniques, digital differentiators, integrators, and matched filters. Lyons has significantly updated and expanded his discussions of multirate processing techniques, which are crucial to modern wireless and satellite communications. He also presents nearly twice as many DSP Tricks as in the second edition—including techniques even seasoned DSP professionals may have overlooked. Coverage includes New homework problems that deepen your understanding and help you apply what you’ve learned Practical, day-to-day DSP implementations and problem-solving throughout Useful new guidance on generalized digital networks, including discrete differentiators, integrators, and matched filters Clear descriptions of statistical measures of signals, variance reduction by averaging, and real-world signal-to-noise ratio (SNR) computation A significantly expanded chapter on sample rate conversion (multirate systems) and associated filtering techniques New guidance on implementing fast convolution, IIR filter scaling, and more Enhanced coverage of analyzing digital filter behavior and performance for diverse communications and biomedical applications Discrete sequences/systems, periodic sampling, DFT, FFT, finite/infinite impulse response filters, quadrature (I/Q) processing, discrete Hilbert transforms, binary number formats, and much more

本科生，程佩青版本清华大学出版社数字信号处理教材配套，老师所给试题，期末考试题

基于DSP的雷达信号恒虚警处理算法的实现，孟凡志，索继东，雷达信号的恒虚警率(Constant False Alarm Rate, CFAR)处理技术是现代雷达信号处理的重要内容之一，在雷达目标自动检测中占有不可或缺的重要

实验目的 (1) 熟悉连续信号经理想采样前后的频谱变化关系，加深对时域采样定理的理解。 (2) 熟悉时域离散系统的时域特性。 (3) 利用卷积方法观察分析系统的时域特性。 (4) 掌握序列傅里叶变换的计算机实现方法，利用序列的傅里叶变换对连续信号、离散信号及系统响应进行频域分析。 2.实验要求 (1) 简述实验目的及实验原理。 (2) 按实验步骤附上实验过程中的信号序列、系统单位脉冲响应及系统响应序列的时域和幅频特性曲线，并对所得结果进行分析和解释。 (3) 总结实验中的主要结论。 (4) 简要回答思考题

1 自适应滤波器原理 2 自适应线性组合器 3 均方误差性能曲面 4最陡下降算法 5 LMS算法 6 RLS算法 7 典型应用：噪声消除