4th Digital Signal Processing 的课后习题解答 1.1 (a) One dimensional, multichannel, discrete time, and digital. (b) Multi dimensional, single channel, continuous-time, analog. (c) One dimensional, single channel, continuous-time, analog. (d) One dimensional, single channel, continuous-time, analog. (e) One dimensional, multichannel, discrete-time, digital. 1.2 1 (a) f = 0.01π 2π = 200 ⇒ periodic with N p = 200. 30π 1 (b) f = 105 ( 2π ) = 17 ⇒ periodic with N p = 7. 3π (c) f = 2π = 32 ⇒ periodic with N p = 2. 3 (d) f = 2π ⇒ non-periodic. 1 31 (e) f = 62π 10 ( 2π ) = 10 ⇒ periodic with N p = 10. 《第四版数字信号处理Proakis_and_Manolakis解题指南》是针对数字信号处理课程的一份详尽习题解答资源，涵盖了多种类型的信号特性。在本资料中，主要讨论了一维、多维、离散时间与连续时间以及单通道与多通道的信号，并通过具体的频率分析来探讨信号的周期性。 在1.1题中，区分了不同类型的信号： (a) 一维、多通道、离散时间和数字信号。 (b) 多维、单通道、连续时间和模拟信号。 (c) 一维、单通道、连续时间和模拟信号。 (d) 同(c)，一维、单通道、连续时间和模拟信号。 (e) 一维、多通道、离散时间和数字信号。 1.2题涉及频率与周期性的计算，如： (a) 频率f = 0.01π，周期Np = 200。 (b) 频率f = 30π，周期Np = 7。 (c) 频率f = 3π，周期Np = 2。 (d) 频率为3/2π，非周期性。 (e) 频率f = 62π/10，周期Np = 10。 1.3题考察了不同信号的周期性： (a) 周期为Tp = 2π/5。 (b) 频率f = 5/2π，非周期性。 (c) 频率f = 11/2π，非周期性。 (d) 分析了不同正弦函数的周期性，指出它们的乘积是非周期性的。 (e) 识别了三个正弦函数的周期，x(n)的周期是16，即它们的最小公倍数。 1.4题涉及频率与样本数的关系： (a) 描述了频率与样本数N的关系，以及最大公约数（GCD）如何影响周期。 (b) 和(c)部分展示了N的不同值下，k与其最大公约数GCD的组合，以及由此推导出的周期Np。 1.5题通过示例图1.5-1展示了信号xa(t)的波形，计算了信号x(n)的表达式，从而得出其频率f = 1/6π，周期Np = 64。 总结来说，这份解答指南深入浅出地介绍了数字信号处理中的基本概念，包括信号的维度、类型、连续性和离散性，以及周期性和频率的计算。通过具体的习题解答，帮助学习者理解并掌握这些关键知识点，对提升数字信号处理的理解和应用能力具有重要作用。

Think DSP Digital Signal Processing in Python 英文mobi 本资源转载自网络，如有侵权，请联系上传者或csdn删除 本资源转载自网络，如有侵权，请联系上传者或csdn删除

The Scientist and Engineer's Guide to Digital Signal Processing Second Edition This book was written for scientists and engineers in a wide variety of fields: physics, bioengineering, geology, oceanography, mechanical and electrical engineering, to name just a few. The goal is to present practical techniques while avoiding the barriers of detailed mathematics and abstract theory.

Digital Signal Processing with Field Programmable Gate Arrays

莱昂斯最新的一本书，与之前的Understanding Digital Signal Processing(2nd.Ed.)有些重叠。

很好的一本关于傅立叶变换的课本，适合通讯，电子，物理电子等相关专业学生，当然了，是英文版的，需要硬着头皮看了。

With continuing progress in VLSI and ASIC technologies, digital signal processing (DSP) algorithms have continued to find great use in increasingly wide application areas. DSP has gained popularity also in embedded systems although these systems set challenging constraints for implementations. Embedded systems contain limited resources, thus embedded DSP systems must balance tradeoffs between the requirements on computational power and computational resources. Energy efficiency has been important in batterypowered devices, but nowadays also the limited heat dissipation in small devices calls for low-power consumption. Successful implementation of DSP applications in embedded systems requires tailoring, which in turn sets challenges for design methodologies.

Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSPs 3rd 第三版 矢量pdf 非扫描

Real-Time Digital Signal Processing, 2nd Edition by Sen Maw, Kuo本版是完整版.原來網上的不全.

国外的教材，关于 TMS320C6713 的应用，比较经典。