Relaterade kurser
This course ESS040 Systems and Signals will give you basic knowledge in digital signal processing and knowledge of signal properties in the time domain as well as in the frequency domain. The EIT department provides three additional courses in signal processing that will allow you to get a deeper understanding and also practical experience in some aspects of signal processing. In addition, the BME department offers a few advanced courses in signal processing. Check their web site for more information on these.
The course EITN55 Signal Separation – Independent Components is a 7.5hp A-level course in HT1. It provides the theory of independent and principal components, together with applications in signal separation. The traditional approaches to analyse, filter, compress and separate a combination of signals by means of second order statistics (e.g. correlation based methods) are extended to include higher order statistics. The course includes e.g.,
- Linear representation of multivariate data
- Estimation theory for signal separation
- Principal and independent component analysis (PCA and ICA)
Signal separation has important applications in acoustic signals where you want to separate mixed audio signals, but also in automatic face recognition in computer vision.
In ETIN80 Algorithms in Signal Processors – Project Course, you can make a digital signal processing project. It is a 7.5hp A-level course in VT1, focusing on algorithms in gigital signal processors (DSPs). the course emphasis the problems that occur in real time digital signal processing and evaluate the performance of the implementations. The course includes e.g.,
- Project specification, planning and realization
- Description of different algorithms that can be used in different applications
- Written and oral presentation of project
Digital signal processing can be found in a wide range of applications, such as acoustic signal processing, biomedical signal processing and communications. The project work consists of implementing a solution to a chosen problem in a DSP (and in Matlab). The course will give you practical experience from working with DSPs.
The course ETIN45 DSP-design, a 7.5hp A-level course in VT1, is a digital design course that focuses on how to get from a signal processing algorithm, based on some requirements, to an efficient hardware or software implementation, in a structured way. Digital signal processing is a crucial part of most modern electronic systems and important applications are e.g., mobile communication, computer systems, music and movie players, and medical systems such as pacemakers and hearing aids. The course will give you valuable insight into how a signal processing algorithm can be transformed, using a collection of tools, to fulfill a given set of criteria. The course includes e.g.,
- Relationships between capacity, power consumption and silicon area.
- Processor architectures.
- Characterization and representation of signal processing algorithms.
- Concepts of retiming, pipelining and parallel processing for high throughput and/or low power consumption.
- Complexity reductions in order to reach a more efficient implementation.
After this course you will have the knowledge and the necessary skills to implement advanced digital signal processing circuits in a way that can significantly improve the performance of digital systems.