https://en.wikipedia.org/wiki/Digital_signal_processing
Digital signal processing ( DSP) is the use of digital processing, such as by computers or more specialized digital signal processors, to perform a wide variety of signal processing operations. The digital signals processed in this manner are a sequence of numbers that represent samples of a continuous variable in a domain such as time, space

https://www.sciencedirect.com/journal/digital-signal-processing
Digital Signal Processing is a peer-reviewed journal that publishes innovative and cutting-edge research in all aspects of signal processing. The journal covers topics such as big data, machine learning, internet of things, information security, systems biology, quantum computing, and more.

https://www.analog.com/en/lp/001/beginners-guide-to-dsp.html
During the recording phase, analog audio is input through a receiver or other source. This analog signal is then converted to a digital signal by an analog-to-digital converter and passed to the DSP. The DSP performs the MP3 encoding and saves the file to memory. During the playback phase, the file is taken from memory, decoded by the DSP and

https://www.howtogeek.com/788867/what-is-digital-signal-processing-dsp/
Learn what digital signal processing (DSP) is, how it works, and what it's used for in audio devices. Find out when DSP matters to you and how to choose the best products with DSP features.

https://ocw.mit.edu/courses/res-6-008-digital-signal-processing-spring-2011/
Learn the fundamentals and techniques of digital signal processing from Prof. Alan V. Oppenheim. This course covers discrete-time systems, digital filters, and fast Fourier transform.

https://www.geeksforgeeks.org/what-is-digital-signal-processing/
Learn what digital signal processing (DSP) is, how it works, and what it is used for in various applications. Explore the block diagram, architecture, and fundamentals of DSP with examples and diagrams.

https://www.coursera.org/learn/dsp1
Learn the fundamentals of digital signal processing from discrete-time signals, vector spaces, Fourier analysis, filter design, and more. This course is part of a specialization offered by IBM and taught by experts in the field.

https://audiointensity.com/blogs/dsp-amplifiers/beginners-guide-to-digital-signal-processing-basics
Digital signal processing (DSP) has revolutionized how we analyze, manipulate, and transform signals. From audio processing to image processing, DSP plays a crucial role in various applications, making it an essential field of study for anyone interested in the digital domain. In this beginner's guide, we will explore the fundamental concepts

https://ocw.mit.edu/courses/res-6-008-digital-signal-processing-spring-2011/pages/introduction/
Learn the fundamentals and techniques of digital signal processing from lectures, text, and problems. This course covers discrete-time signals and systems, digital filters, and fast Fourier transform.

https://eng.libretexts.org/Courses/Arkansas_Tech_University/Discrete-Time_Signal_Processing/01%3A_Introduction_to_Digital_Signal_Processing
The key reason why digital signal processing systems have a technological advantage today is the computer: computations, like the Fourier transform, can be performed quickly enough to be calculated as the signal is produced, and programmability means that the signal processing system can be easily changed. This flexibility has obvious appeal

http://www.dspguide.com/
Digital Signal Processing By Steven W. Smith, Ph.D. Home; The Book by Chapters; About the Book. ... Easy to use Digital Filters Simple to design; incredible performance New Applications Topics usually reserved for specialized books: audio and image processing, neural networks, data compression, and more! For Students and Professionals

https://www.tutorialspoint.com/digital_signal_processing/index.htm
Learn the basic concepts of digital signal processing (DSP) with examples and applications. This tutorial covers signals, systems, filter design, and more for E&TC, Electrical and Computer Science students.

https://www.allaboutcircuits.com/technical-articles/an-introduction-to-digital-signal-processing/
Learn what DSP is, how it works, and what advantages it can offer. This article covers the basics of analog and digital signal processing, the role of A/D and D/A converters, and the types of DSP algorithms and applications.

https://ece.gatech.edu/directory/tig/dsp
Digital Signal Processing (DSP) involves the representation, processing, modeling, and analysis of signals, information, and physical phenomena. DSP interprets the captured data and enables visualization, analysis, manipulation, and control. DSP lies at the core of modern artificial intelligence (AI) and machine learning algorithms.

https://en.wikipedia.org/wiki/Digital_signal_(signal_processing)
A digital signal consists of a sequence of samples, which in this case are integers: 4, 5, 4, 3, 4, 6... In the context of digital signal processing (DSP), a digital signal is a discrete time, quantized amplitude signal. In other words, it is a sampled signal consisting of samples that take on values from a discrete set (a countable set that

https://www.softwaretestinghelp.com/digital-signal-processing-tutorial/
Learn the basics of digital signal processing, including data digitization, quantization, Fourier transform, and DSP applications. This tutorial covers the key concepts, examples, and challenges of DSP with a simple and easy-to-understand approach.

http://dsp.cs.cmu.edu/notes/intro_to_signals/signals.html
Why digital signal processing? If you're working on a computer, or using a computer to manipulate your data, you're almost-certainly working with digital signals. All manipulations of the data are examples of digital signal processing (for our purpose processing of discrete-time signals as instances of digital signal processing).

https://www.coursera.org/specializations/digital-signal-processing
Learn digital signal processing from theory to practice with four courses taught by EPFL experts. Discover Fourier analysis, filters, data transmission, and real-time DSP applications in Python.

https://en.wikipedia.org/wiki/Digital_signal_processor
A digital signal processor ( DSP) is a specialized microprocessor chip, with its architecture optimized for the operational needs of digital signal processing. [1] : 104-107 [2] DSPs are fabricated on metal-oxide-semiconductor (MOS) integrated circuit chips. [3] [4] They are widely used in audio signal processing, telecommunications

https://dl.acm.org/doi/10.1016/j.dsp.2024.104400
Digital Signal Processing Volume 146, Issue C. Mar 2024. 461 pages. ISSN: 1051-2004. Issue's Table of Contents. Elsevier Inc. Publisher. Academic Press, Inc. United States. Publication History. Published: 25 June 2024. Author Tags. Causal discovery; Graph signal processing (GSP) Causal graph process (CGP)

https://zzutk.github.io/docs/reports/2015.07%20-%20Image%20Noise%20Detection,%20Measurement,%20and%20Removal%20Techniques.pdf
Since noise of a digital image is greatly related to the acquisition instrument, modeling the physical imaging process of a camera is an intuitive way to measure the noise level [2], [3]. In practice, however, noise modeling in images is also affected by data transmission media, discrete sources of ra-diation, etc. [4].

https://www.qsl.net/n5na/pages/rx330b/
SEE NOTE BELOW. The TEN-TEC RX-330B is a multi-mode HF receiver operating from 5 kHz to 30 MHz, fully synthesized and utilizing state-of-the-art Digital Signal Processing.DSP technology brings the performance and repeatability of expensive military grade communications receivers into the more economic range of commercial receivers.

https://core.ac.uk/download/pdf/51297192.pdf
signal at the beginning of digital processing and the future processing is easier because it works only with one signal path. ADC card The input analog signal is digitalized by two fast ADC Texas Instruments ADC12D1000 working on sampling frequency 1 GHz. Digital signal processing is implemented in FPGA Xilinx Virtex-6.

http://www.hostsymposium.org/host2018/hwdemo/HOST_2017_hwdemo_14.pdf
Fig. 3. a)The sent signal x1(t) vs the message m(t). b) Real world data gathered. to be also secure against return-time map (RTM) attacks. To make a system secure to these attacks, we realize a Lorenz based chaotic system with an appropriate time-scaling factor, creating a Time Scaling Chaotic Shift Keying (TS-CSK) encryption system.