用于PHM的数据采集处理系统设计

本设计应用于故障预测与健康管理(PHM)体系,负责采集传感器数据,并按照传感器种类对数据进行相应的数字信号处理,提取出上层系统感兴趣的信息.传感数据采集处理系统以DSP为主处理器,负责数字信号处理,以FPGA为辅助处理器,控制AD芯片进行采集,采用CPCI接口与上层系统通信.该系统实现了多通道高速采集、高性能DSP与F...     

基于DSP5416的语音采集与保密通信的实现

设计了基于数字信号处理器TMS320VC5416的语音保密通信系统。主要包括语音信号采集和数字信号处理2个模块,采用I2 C模式控制和SPI模式传输信号实现无缝连接。语音信号采集模块采用TLV320AIC23芯片,进行语音信号的采集和编解码。核心处理器采用循环异或算法,对音频信号进行加密或解密处理。设计系统语音采集与传输主程序和保密子程序,并调试实现了保密通信功能。测试结果表明,该系统实现方便、算法精度高、抗干扰性能力强,能够满足实时信号处理和保密通信的基本要求。     

基于以太网传输的语音录放存储系统

本文提出了一种基于DSP和以太网的语音录放，存储系统，以IDE为接口设计了一种可插拔式网卡连接方式，提高系统的可维护性。在此基础上用MOTOROLA语音处理芯片MC14LC5480实现语音的采集和播放。最终实现远程的网络语音通信。     

基于NRF24L01的无线语音采集系统设计

语音信号的采集、传输、处理和分析在很多领域都有着非常广泛的应用,为了适应语音信号数据量大的需求、克服传统的有线采集系统使用不灵活和布线困难等缺点,设计了一种集成NRF24L01无线收发芯片、STM32F103ZET6处理器以及ENC28J60以太网传输模块的无线语音采集系统,设计实现了该系统的硬件和软件,并给出了实验测试结果.该系统传输速率高、工作稳定,可以实现对语音信号的采集和快速无线传输.     

开关磁阻起动／发电机数字控制系统设计

介绍了开关磁阻起动／发电机系统的构成及其工作原理。在此基础上,设计了以数字信号处理器（DSP）和可编程逻辑器件（CPLD）为核心的数字控制器,包括硬件和软件。该系统利用DSP的强大运算能力实现对系统的实时控制,采用CPLD芯片实现信号的逻辑处理,输出驱动信号控制开关管的通断,仿真波形验证了CPLD逻辑设计的正确性。通过DSP和CPLD的相互配合,从而达到准确控制开关磁阻起动／发电机良好运行的目的。     

数字正交解调在定点DSP上的实现

将数字正交解调算法应用到船用无线气象传真机的数字化信号处理平台上,对传真信号进行解调。对解调算法进行仿真验证并基于定点数字信号处理器DSP芯片对算法进行了实现。仿真和实验结果表明,开发的信号处理平台工作稳定可靠,算法可以实现对相信号解调,验证了方案的可行性和正确性。     

DSP与PC机的高速串行通信设计

数字信号处理芯片（DSP）广泛应用于高速数据采集与传输、数字通信、图像处理、语音处理等高速数字信号处理领域.针对实际系统要求,并根据当前数字信号处理理论,以DSP为处理器,设计和实现了测试系统硬件平台.围绕DSP设计了测试系统的前向通道,中断、复位子系统、存储子系统和通信子系统.本文利用扩展异步通信芯片,将DSP与PC机相连,完成测试系统与PC机之间的高速和可靠的通信.系统经过实际运行证明是可靠的,满足了系统设计的要求.     

基于DSP的同步数据采集系统的设计

数字信号处理器(Digital Signal Processor,DSP)具有强大的控制和信号处理能力,广泛应用于通信、工业测控、自动化控制以及军事等相关领域。为了满足现代工业测控的实际需求,利用DSP丰富的内部资源和外设接口,设计了一套基于TMS320F2812和模数转换芯片AD7656的同步数据采集系统。该系统可实现对工业现场电压以及电流信号的实时采集,同时对采集到的数据进行相关处理,并利用DSP的CAN模块将数据发送到计算机进行显示和分析。主要内容包括两种芯片的简单介绍、系统的硬件结构设计、两个芯片之间接口电路的设计以及软件实现方法。     

基于IPC和DSP的交流电量同步采集器

本文设计了基于工控机IPC和数字信号处理器DSP的交流电量同步采集器。DSP芯片TMS320F2812作为下位机,主要完成电压/电流信号的同步采集、滤波处理以及与工控机的通信等;PC547B工控机作为上位机,主要负责数据的接收与处理、人机接口等功能;工控机和DSP之间通过双口RAM实现高速数据通信和资源共享;DSP通过CPLD将GPS系统提供的秒脉冲信号转化为同步采样信号,控制不同地点同步采集器的A/D转换器同时开始采样。     

基于DSP的在线FIR数字滤波器设计及实现

在线数字滤波器就是采集模拟信号进行数字化后,送人DSP进行滤波处理,再实时输出滤波后的模拟信号的一个系统。从滤波器的技术指标出发,运用MATLAB软件设计FIR滤波器的参数,使用汇编语言编写DSP处理器的FIR数字滤波器程序和AD／DA转换器接口程序,实现了一个在线FIR数字滤波器。通过了软件仿真和硬件在线调试,给出了实验波形。     

A digital signal processing laboratory for undergraduates

An undergraduate level laboratory on digital signal processing (DSP) is described. The equipment used and samples of student experiments are described in detail. The lab is based on the TMS320 digital signal processor and is equipped with spectral analysis and audio signal processing capabilities. The primary purpose of the lab is to supplement a course on digital filter design and implementation. However, it can also be used for senior design projects involving DSP applications     

轨道交通高音质音频播放系统设计

文中主要介绍了一种利用数字信号处理技术结合CODEC芯片实现轨道交通高音质音频播放系统的方法,以及在DSP上实现的由全通网络构成的音频参量均衡器。     

The SIVA Demonstration Gallery for signal, image, and video processing education

The techniques of digital signal processing (DSP) and digital image processing (DIP) have found a myriad of applications in diverse fields of scientific, commercial, and technical endeavor. DSP and DIP education needs to cater to a wide spectrum of people from different educational backgrounds. This paper describes tools and techniques that facilitate a gentle introduction to fascinating concepts in signal and image processing. Novel LabVIEW- and MATLAB-based demonstrations are presented, which, when supplemented with Web-based class lectures, help to illustrate the power and beauty of signal and image-processing algorithms. Equipped with informative visualizations and a user-friendly interface, these modules are currently being used effectively in a classroom environment for teaching DSP and DIP at the University of Texas at Austin (UT-Austin). Most demonstrations use audio and image signals to give students a flavor of real-world applications of signal and image processing. This paper is also intended to provide a library of more than 50 visualization modules that accentuate the intuitive aspects of DSP algorithms as a free didactic tool to the broad signal and image-processing community.     

A senior project course in digital signal processing with theTMS320

A senior project course on applications in digital signal processing (DSP) with the TMS320 digital signal processor is described. All experiments and projects are performed using Texas Instruments' TMS320 digital signal processor. The laboratory emphasis in the senior project course reinforces the concepts of DSP covered in the lecture course. Applications in DSP are in areas such as communications, controls, speech, graphics, etc. The DSP projects presented and demonstrated by the students in the spring of 1987 are discussed. These projects can provide a guide to individuals who may incorporate a hands-on approach to DSP in courses such as senior project, senior lab, or DSP lab using the versatile TMS 320 digital signal processor     

基于并行数据处理结构的电能质量在线监测

提出了基于现场可编程门阵列器件FPGA与数字信号处理器DSP并行结构的在线电能质量监测与分析。由FPGA同步产生系统控制时序,并充分利用FPGA与DSP各自在数字信号处理领域中的特点,在FP GA内设计了16位浮点FFT运算模块用于谐波分析,应用DSP实现电压波动与闪变等电能质量指标数据的计算,采用FPGA与DSP并行数据处理的方式,达到采样与数据处理的同步进行的目的,从而完成对多路信号的无缝采样与分析。     

基于DSP的声纳电功率测量系统

正交双通道处理技术保留了信号的幅度和相位信息,用这种方法可以实现无理论误差地测量音频正弦信号有效功率。为了实现对声纳发射有效电功率的测量,基于此技术设计了声纳发射有效电功率测量系统,系统采用专用数字信号处理器DSP和单片机AT89C51构成双微处理器工作方式,数字信号处理器用来实现各种算法和完成数据运算,单片机AT89C51用来实现系统控制。通过实际测量,此系统满足设计要求并在实际中得到应用。     

FFT Spectrum Analyzer Project for Teaching Digital Signal Processing With FPGA Devices

This paper presents a course on digital signal processing with field-programmable gate arrays (FPGA) devices. The course integrates two separate disciplines, digital signal processing (DSP) and very large scale integration (VLSI) design, and focuses on the development of a sophisticated DSP design from simulation to fixed-point implementation. The structure and methodology used in the proposed course are oriented to the design and implementation of an fast Fourier transform (FFT) spectrum analyzer. This application covers most topics included in a DSP course and gives better results that those obtained with typical courses performing independent multiple simple experiments. The project is divided into modules that show specific learning necessities and determine the course contents and organization. Each laboratory part is dedicated to design and implements the block of the analyzer related to the theoretical content presented in the class. At the end of the course the students have designed all the pieces in the DSP project and have completed and verified the system. The used methodology enables students and engineers to understand and develop complex fixed-point applications, looking for the best signal processing algorithms on hardware implementations, and also results in more motivated and active students.     

Power SAWs

Applications employing digital signal processing (DSP) has mushroomed over the past fifteen years. DSP techniques are now employed in television and radio receivers, in telephones, in automobile engines, in medical diagnostics, in robotics, in military systems, to just name a few. Its popularity stems from its flexibility. DSP also parallels the advances made in low cost computers and specialized integrated circuits (ICs). In a few applications, however, these digital techniques are either too slow or consume too much power to be practical. Examples include ultra-high frequency (UHF) filters and convolvers. In such applications, analog techniques can often perform the same tasks much more efficiently. Of the analog techniques, those employing surface acoustic waves (SAWs) offer unique capabilities for processing signals in the 30 MHz to 2 GHz frequency range. We examine this technology and review some of its applications