Laboratory Courses

Spring Semester 2024

SV 1: Analog Filters

In this ex­per­i­ment, an act­ive fil­ter is con­struc­ted and meas­ured. Con­sist­ing of res­ist­ors, ca­pa­cit­ors, and an amp­li­fier, it be­longs to the class of act­ive RC fil­ters. Prop­er­ties such as the fre­quency and time do­main's be­ha­vior are in­vest­ig­ated us­ing a second-​order low-​pass fil­ter. The ex­per­i­mental cir­cuits are built on a plug-​in board with dis­crete com­pon­ents.

SV 5: Error Correcting Codes

In this exercise, error correction codes are introduced. A few codes are demonstrated and their error correction capabilities are compared. A few simple examples describe the basic structure of a code. This is followed by more complex codes, and shows how a picture is completely recovered after being corrupted by errors.

SV 6: Polynomial Regression and Neural Networks

In a test case, polynomial fitting is compared with regression using a neural network. The issue of overfitting is addressed for both methods.

SV 8: Con­tinu­ous Phase Mod­u­la­tion

Many di­gital mod­u­la­tion tech­niques res­ult in a trans­mit­ted sig­nal which - de­pend­ing on the data to be trans­mit­ted - might change ab­ruptly. This leads to det­ri­mental spec­tral char­ac­ter­ist­ics (e.g., poor spec­tral ef­fi­ciency). In con­trast, con­tinu­ous phase mod­u­la­tion (CPM) mod­u­lates the data bits in a con­tinu­ous man­ner and has there­fore a high spec­tral ef­fi­ciency. This is par­tic­u­larly in­ter­est­ing in wire­less com­mu­nic­a­tion where band­width is ex­pens­ive. In fact, CPM is most not­ably used in GSM.

In this ex­per­i­ment you will in­vest­ig­ate a com­mu­nic­a­tion sys­tem that uses CPM mod­u­la­tion. With the aid of SIM­ULINK, you will sim­u­late the mod­u­la­tion and de­cod­ing pro­cesses of CPM sys­tems, and you will ana­lyze key fig­ures such as spec­tral char­ac­ter­ist­ics of the mod­u­lated sig­nal or prob­ab­il­ity of a de­cod­ing er­ror.