Kravchenko atomic transforms in digital signal processing

The modified atomic transformations are constructed and proved. On their basis the new complex analytic wavelets are obtained. The proof of the Fourier transforms existence in L~ and L2 on the basis of the theory of atomic functions （AF） are presented. The numerical experiments of digital time series processing and physical analysis of the results confirm the efficiency of the proposed transforms.

New WA-system of kravchenko functions in digital signal processing

On the basis of modified atomic transformations the new WA-systems of Kravchenko functions are constructed.As an example the digital processing of time series of the various physical nature processing is considered.The numerical experiments and physical analysis of the results confirm the efficiency of the proposed WA-systems of Kravchenko functions.

Real-Time Discrete Adaptive Control of Robot Arm Based on Digital Signal Processing

A discrete model reference adaptive controller of robot arm is obtained by integrating the reduced dynamic model of robot, model reference adaptive control （MRAC） and digital signal processing （DSP） computer system into an electromechanical system. With the DSP computer system, the control signal of each joint of the robot arm can be processed in real time and independently. The simulation and experiment results show that with the control strategy, the robot achieved a good trajectory following precision, a good decoupling performance and a high real-time adaptivity.

Signal processing circuit of laser gyro based on FPGA and DSP

This is a paper about laser gyro sign a l processing circuit which is designed based on field-programmable gate array(FPGA) and digital signal processor(DSP).Through a pre-amplifier circuit,FPGA and DSP,a weak current signal is converted and transferred,then sent to the computer to display the final results.Through the laser gyro performance te sting,the obtained results coincide with those of the existing methods.Thus th e d esigned circuit realizes the function of laser gyro signal processing.

Virtual Experimental Project Design in the Digital Signal Processing Course

This paper proposes the design and development of virtual experimental projects in the Digital Signal Processing course,using MATLAB,Proteus,and CCS platforms to develop a library of typical experimental cases for biomedical engineering majors and discusses the design process.Based on these typical cases,this paper explores the secondary design for innovative engineering practice case teaching,which can promote students’understanding and mastery of digital signal processing theories,algorithms,and technologies in an intuitive,flexible,and efficient way;quickly build new innovative engineering case models and further cultivate students’engineering application ability as well as innovative thinking.

Measuring Absolute Delay of RNSS Signal Channel Using Digital Envelope Detection

The absolute delay caused by equipment of radio navigation satellite service (RNSS) signal channel must be calibrated in the application of positioning. The measurement accuracy of absolute delay will affect the positioning precision of RNSS user. An absolute delay measurement technique using digital envelope detection was developed for RNSS signal transmission channel. The RNSS transmission signal of navigation satellite and the one pulse per second (1PPS)generated by satellite time keeping system were sampled synchronously. With sampling data of 1PPS,the reference point of the absolute delay can be decided at first,and then sampling data of RNSS transmission signal were truncated. The truncated data were processed using digital envelop detection algorithm to search the phase converting points of RNSS signal. Finally,the absolute delay of RNSS signal transmitting channel was calculated. Uncertainty of measurement with proposed technique is lower than 0. 2 ns as the sampling frequency is 10 GHz.

Two simple memristive maps with adaptive energy regulation and digital signal process verification

Mathematical models can produce desired dynamics and statistical properties with the insertion of suitable nonlinear terms,while energy characteristics are crucial for practical application because any hardware realizations of nonlinear systems are relative to energy flow.The involvement of memristive terms relative to memristors enables multistability and initial-dependent property in memristive systems.In this study,two kinds of memristors are used to couple a capacitor or an inductor,along with a nonlinear resistor,to build different neural circuits.The corresponding circuit equations are derived to develop two different types of memristive oscillators,which are further converted into two kinds of memristive maps after linear transformation.The Hamilton energy function for memristive oscillators is obtained by applying the Helmholz theorem or by mapping from the field energy of the memristive circuits.The Hamilton energy functions for both memristive maps are obtained by replacing the gains and discrete variables for the memristive oscillator with the corresponding parameters and variables.The two memristive maps have rich dynamic behaviors including coherence resonance under noisy excitation,and an adaptive growth law for parameters is presented to express the self-adaptive property of the memristive maps.A digital signal process(DSP)platform is used to verify these results.Our scheme will provide a theoretical basis and experimental guidance for oscillator-to-map transformation and discrete map-energy calculation.

Digital synthesis of programmable photonic integrated circuits

Programmable photonic waveguide meshes can be programmed into many different circuit topologies and thereby provide a variety of functions.Due to the complexity of the signal routing in a general mesh,a particular synthesis algorithm often only accounts for a specific function with a specific cell configuration.In this paper,we try to synthesize the programmable waveguide mesh to support multiple configurations with a more general digital signal processing platform.To show the feasibility of this technique,photonic waveguide meshes in different configurations(square,triangular and hexagonal meshes)are designed to realize optical signal interleaving with arbitrary duty cycles.The digital signal processing(DSP)approach offers an effective pathway for the establishment of a general design platform for the software-defined programmable photonic integrated circuits.The use of well-developed DSP techniques and algorithms establishes a link between optical and electrical signals and makes it convenient to realize the computer-aided design of optics–electronics hybrid systems.

A Versatile High-speed Image Processing System Based on DSP and CPLD

In this paper, we present an optimized design method for high-speed embedded image processing system using 32 bit floating-point Digital Signal Processor （DSP） and Complex Programmable Logic Device （CPLD）. The DSP acts as the main processor of the system： executes digital image processing algorithms and operates other devices such as image sensor and CPLD. The CPLD is used to acquire images and achieve complex logic control of the whole system. Some key technologies are introduced to enhance the performance of our system. In particular, the use of DSP/BIOS tool to develop DSP applications makes our program run much more efficiently. As a result, this system can provide an excellent computing platform not only for executing complex image processing algorithms, but also for other digital signal processing or multi-channel data collection by choosing different sensors or Analog-to-Digital （A/D） converters.

DSP在线无缝升级方法研究

数字信号处理(DSP)在线升级需要多次断电重启,面对突发情况可能造成升级失败无法回退原版本的情况,为此对DSP在线升级方法进行了优化。通过加入外部看门狗实现整个升级过程无需断电重启。在FLASH分区中引入了AB区方式,实现DSP在线无缝升级并提高了在线升级的容错性。通过实验充分验证了上述优化方法,证明了该在线无缝升级方法的易操作性和容错性,可广泛应用于嵌入式系统在线升级过程。

基于DSP模式的计算机图像处理算法研究

基于DSP架构模式,提出了一种CNN卷积神经网络算法,并将其运用到计算机图像处理中。研究过程中,采用DSP技术进行计算机图像获取、算法处理、算例分析和结果优化,大大提高了计算机图像算法处理质量和效率。经过算法测试验证,结果表明,基于DSP数字信号处理器搭建多DSP并行处理架构模式,采用CNN卷积神经网络算法进行计算机图像处理,能够提高图像处理精度。该算法运行时的性能较高,功能低,CPU占用率不高,且DSP计算机处理系统在多DSP并行处理架构模式下进行算法分析,系统的稳健性和可靠性高,能够适应不同规模级别下的计算机图像处理数据集的处理速度、精度、资源消耗和功率要求,可为计算机图像算法处理提供准确、高效、经济的解决方案,对于计算机图像处理算法设计和优化以及应用具有较好的实用参考价值。

基于多核DSP的核间通信方法研究

嵌入式应用中采用多处理系统所面临的主要难题是多处理器内核之间的通信。对TI-C6678处理器的核间同步和多核间通信机制进行研究,主要介绍了核间通信的几种常用方法:共享内存通信方式、核间中断通信方式、IPC Notify通信方式以及Message通信方式,设计并实现了多核之间的通信,从系统的角度出发,设计与仿真了多核通信的实现,并分析对比了性能。对设计多核DSP处理器的核间通信有一定的指导价值。

基于DSP/BIOS的多机通信系统的设计与实现

数字信号处理器(Digital Signal Processor,DSP)在电子设计中应用广泛,DSP/基本输入输出系统(Basic Input Output System,BIOS)则是TI公司推出的一个应用于DSP平台的实时嵌入式操作系统,为设计多任务程序带来极大便利。以TMS320C5509A芯片为例,结合具体工程实践,设计了基于DSP/BIOS的多机集成电路总线(Inter-Integrated Circuit,I2C)通信系统。分析中断处理流程和数据发送流程,并指出设计过程中应该注意的相关问题,给出了系统稳定性和中央处理器(Central Processing Unit,CPU)利用率的测试结果,对相关工程实施具备很好的指导作用。

简化Lorenz混沌系统的DSP实现

对混沌系统的研究是当前非线性系统研究的热点之一。以简化Lorenz混沌系统为例,在DSP(Digital Signal Processor)平台上实现了该混沌系统,从软、硬件设计两方面详细叙述了DSP实现混沌系统的过程。实验结果表明,示波器观察的吸引子相图与计算机理论仿真的结果一致。本方法为混沌系统的进一步应用提供了技术基础。

基于STM32的辨音识别系统的设计与应用

声音识别技术能够用于多种环境参数检测,本文采用STM32的DSP技术,对全向拾音器采集到环境声音进行快速傅里叶变换(FFT),获取待测声音的主频率和次频率,通过液晶屏显示采集信号的强度和主要频率分量。该设备能够有效对环境声音的主要参赛进行检测,在噪声检测和一般设备运行故障检测具有较高的适用性。

基于DSP的智能相敏轨道电路测试盘研究和实现

为提高25 Hz相敏轨道电路测试盘的智能化水平,设计一种基于数字信号处理的智能相敏轨道电路测试盘,增加了对分路状态下轨道电压和局部电压的相位差,以及电码化干扰信号的检测。通过对该测试盘进行测试,结果表明:该轨道电路测试盘在保证对25 Hz相敏轨道电路进行信息检测的同时,还可实现对电码化干扰信号和相位差的准确检测。

用于滑坡探测的电磁仪数据采集电路设计与实现

随着人类社会的高速发展和工程建设的激增,地质环境扰动日益显著,极端气候因素影响日益增多,地质灾害日益频繁发生,对人类的威胁和造成的损失也随之日益加剧。滑坡是其中最主要的地质灾害,因此,研究滑坡发育、发展、发生整个地质过程中伴随的物理现象,研究其信号特征,从而间接获取滑坡发展变化的过程是地质灾害探测或监测的基础性研究,是值得深入探索的科学问题。但是专门用于滑坡探测的电磁仪器关键设计及具体实现的研究尚较缺乏。本研究以电子电路学、嵌入式计算机科学、数字信号处理技术、地球物理以及工程地质等多学科交叉的理论体系为基础,自主研发能用于滑坡探测电磁探测仪功能样机。本设计结合当前电子学科发展水平,将嵌入式多核达芬奇结构工业级计算机系统应用在地球探测仪器领域中,设计并实现了拥有自主知识产权的应用于滑坡探测的关键设备。若进一步完善并市场化,或可解决我国滑坡工程地质灾害监测领域业高端电磁仪器严重依赖进口的难题,可为滑坡不良地质勘察及防护提供强有力的技术支撑。

基于DSP和FPGA的通用数字信号处理系统设计

随着电子设备结构和功能的日益复杂,对其内部使用的数字信号处理系统在体积和功耗方面提出了更高的要求。结合以上背景,设计了一种体积小、功耗低的通用数字信号处理系统。该系统利用DSP配合FPGA为硬件架构,以TMS320VC5509A DSP为数据处理核心,通过FPGA对USB、ADC和DAC等外围设备进行控制,并可实现频谱分析、数字滤波器等数字信号处理算法。硬件调试结果表明,该系统满足设计要求,可应用于实际工程和课堂教学等多个领域。

DSP技术的最新发展及其应用现状

概述了数字信号处理(DSP)技术的发展过程,分析比较了DSP处理器与通用微处理器(GPP)的异同;介绍了DSP的最新发展和应用现状;对数字信号处理技术的发展前景和趋势作了预测。

空间相机像移速度计算方法及DSP实现

为了精确匹配地物运动在空间相机像面上产生的像移,实现了以WGS-84坐标系下航天器位置向量及速度向量、航天器轨道坐标系下姿态角及姿态角速率作为输入参数的像移速度计算方法。首先,在原有像移速度计算模型的基础上选取惯性坐标系,降低了求解轨道倾角和降交点经度的复杂性。通过球面几何的余弦定理直接求解航天器与降交点相对地心夹角的余弦值,避开了原像移速度计算模型中通过判断卫星飞行方向和星下点纬度来求解航天器与降交点相对地心夹角余弦值这一过程。然后,有机联系星下点的经度和纬度与FLASH的地址,避开访问高程数据时繁琐的查表过程。通过分析像移速度残差对相机MTF的影响,评估了像移速度计算模型的可行性。最后,在TI的DSP上实现了像移速度的整个计算过程。分析及实验结果表明,像移速度计算残差为0.15%,引起相机的MTF下降为1%,像移速度计算时间<2ms,满足空间相机对像移速度的计算精度和计算时间等要求。