Digital Signal Processing
✴数字信号处理是利用计算机算法对数字信号进行信号处理。作为数字信号处理的子类别或领域,数字图像处理与模拟图像处理相比具有许多优点。它允许将更广泛的算法应用于输入数据,并且可以避..
基本信息
- 更新日期:
- 包名:
- in.softecks.dsp
- 版本:
- 2.5
- 大小:
- 22M
- 类型:
- 教育
- 平台:
- 安卓
- 评分:
- 发布日期:
- 2020-10-19
- 价格:
- 免费
- 开发者:
- Softecks
应用更新
- Converted into Category wise
- 6 New Categories Added
- App Performance Improved
Digital Signal Processing应用截图
Digital Signal Processing应用简介
✴ Digital Signal processing is the use of computer algorithms to perform signal processing on digital signals. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems. ✴
► This App is meant for the students of E&TC, Electrical and Computer Science engineering. In addition, it should be useful for any enthusiastic reader who would like to understand more about various signals, systems, and the methods to process a digital signal.✦
【Topics Covered in this App are Listed Below】
⇢ Signals-Definition
⇢ Basic CT Signals
⇢ Basic DT Signals
⇢ Classification of CT Signals
⇢ Classification of DT Signals
⇢ Miscellaneous Signals
⇢ Operations on Signals Shifting
⇢ Operations on Signals Scaling
⇢ Operations on Signals Reversal
⇢ Operations on Signals Differentiation
⇢ Operations on Signals Integration
⇢ Operations on Signals Convolution
⇢ Static Systems
⇢ Dynamic Systems
⇢ Causal Systems
⇢ Non-Causal Systems
⇢ Anti-Causal Systems
⇢ Linear Systems
⇢ Non-Linear Systems
⇢ Time-Invariant Systems
⇢ Time-Variant Systems
⇢ Stable Systems
⇢ Unstable Systems
⇢ System Properties Solved Examples
⇢ Z-Transform Introduction
⇢ Z-Transform Properties
⇢ Z-Transform Existence
⇢ Z-Transform Inverse
⇢ Z-Transform Solved Examples
⇢ DFT Introduction
⇢ DFT Time Frequency Transform
⇢ DFT Circular Convolution
⇢ DFT Linear Filtering
⇢ DFT Sectional Convolution
⇢ DFT Discrete Cosine Transform
⇢ DFT Solved Examples
⇢ Fast Fourier Transform
⇢ In-Place Computation
⇢ Computer Aided Design
⇢ Digital Signal Processing Introduction (Contd…)
⇢ What’s Inside a DSP?
⇢ Embedded Microprocessors
⇢ High Performance Processor Core
⇢ Video Instructions
⇢ Efficient Control Processing
⇢ Superior Code Density
⇢ Microcontrollers
⇢ Antena designs
⇢ Satellite Communication
⇢ Smart Grid
⇢ Wireless Journals
⇢ Information Science
⇢ Design and Simulation of E-Slot Patch Antenna with Coaxial Feed for Multi Band Applications
⇢ Feedings Techniques
⇢ Digital Signal Processing
⇢ Characterization, Description and Testing of Digital Systems
⇢ significance in digital systems
⇢ LTI systems
⇢ Impulse Responses
⇢ SIGNALS AND INFORMATION
⇢ SIGNAL PROCESSING METHODS
⇢ NEURAL NETWORKS
⇢ APPLICATIONS OF DIGITAL SIGNAL PROCESSING
⇢ ADAPTIVE NOISE REDUCTION
⇢ BLIND CHANNEL EQUALISATION
⇢ SIGNAL CLASSIFICATION AND PATTERN RECOGNITION
⇢ LINEAR PREDICTION MODELLING OF SPEECH
⇢ DIGITAL CODING OF AUDIO SIGNLS
⇢ DETECTION OF SIGNALS IN NOISE
⇢ DIRECTIONAL RECEPTION OF WAVES: BEAM-FORMING
⇢ DOLBY NOISE REDUCTION
⇢ RADAR SIGNAL PROCESSING: DOPPLER FREQUENCY SHIFT
SAMPLING AND ANALOGUE-TO-DIGITAL CONVERSION
⇢ SAMPLING AND RECONSTRUCTION OF ANALOGUE SIGNALS
⇢ QUANTISATION
⇢ Signals, Noise and Information
⇢ Signal Processing Methods
⇢ Transform-Based Signal Processing
⇢ Source-Filter Model-Based Signal Processing
⇢ Digital Watermarking
⇢ Bio-medical, MIMO, Signal Processing
⇢ Echo Cancellation
中文翻译
✴数字信号处理是利用计算机算法对数字信号进行信号处理。作为数字信号处理的子类别或领域,数字图像处理与模拟图像处理相比具有许多优点。它允许将更广泛的算法应用于输入数据,并且可以避免诸如在处理期间噪声和信号失真的累积之类的问题。由于图像是在两个维度(可能更多)上定义的,因此可以以多维系统的形式对数字图像处理进行建模。 ✴
►此应用程序适用于E&TC,电气和计算机科学工程的学生。此外,对于想要了解有关各种信号,系统和处理数字信号的方法的更多热心读者,它应该是有用的。
【此应用程序中涵盖的主题列于下方】
⇢信号 – 定义
⇢基本CT信号
⇢基本DT信号
⇢CT信号的分类
⇢DT信号的分类
⇢杂项信号
⇢信号转换操作
⇢信号缩放操作
⇢信号反转操作
⇢信号差异化运作
⇢信号集成操作
⇢信号卷积的操作
⇢静态系统
⇢动态系统
⇢因果系统
⇢非因果系统
⇢反因果系统
⇢线性系统
⇢非线性系统
⇢时不变系统
⇢时变系统
⇢稳定的系统
⇢不稳定的系统
⇢系统属性解决的示例
⇢Z-Transform简介
⇢Z变换属性
⇢Z变换存在
⇢Z变换逆
⇢Z-Transform解决的例子
⇢DFT简介
⇢DFT时间频率变换
⇢DFT循环卷积
⇢DFT线性滤波
⇢DFT分段卷积
⇢DFT离散余弦变换
⇢DFT解决的例子
⇢快速傅里叶变换
⇢就地计算
⇢计算机辅助设计
⇢数字信号处理简介(续…)
⇢DSP里面有什么?
⇢嵌入式微处理器
⇢高性能处理器核心
⇢视频说明
⇢高效的控制处理
⇢优越的密码密度
⇢微控制器
⇢Antena设计
⇢卫星通信
⇢智能电网
⇢无线期刊
⇢信息科学
⇢多波段应用的同轴馈电E-Slot贴片天线的设计与仿真
⇢喂养技术
⇢数字信号处理
⇢数字系统的特征描述和测试
⇢数字系统的重要性
⇢LTI系统
⇢冲动响应
⇢信号和信息
⇢信号处理方法
⇢神经网络
⇢数字信号处理的应用
⇢自适应降噪
⇢盲通道均衡
⇢信号分类和模式识别
⇢语音的线性预测建模
AUD音频SIGNLS的数字编码
⇢检测噪音中的信号
⇢波的定向接收:波束形成
⇢杜比降噪
⇢雷达信号处理:多普勒频率偏移
采样和模拟到数字转换
⇢模拟信号的采样和重建
⇢量化
⇢信号,噪音和信息
⇢信号处理方法
⇢基于变换的信号处理
⇢基于源滤波器模型的信号处理
⇢数字水印
⇢生物医学,MIMO,信号处理
⇢回声消除